ArticleJournal of medical imaging (Bellingham, Wash.)2024
Empirical assessment of the assumptions of ComBat with diffusion tensor imaging.
Article in Journal of medical imaging (Bellingham, Wash.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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Who cites it
12 citing papers in PubMed.
- Charting confidence in white matter brain charts: enabling study planning through stability validation.Journal of medical imaging (Bellingham, Wash.) · 2026Article
- Harmonization in magnetic resonance imaging: A survey of acquisition, image-level, and feature-level methods.Medical image analysis · 2026Review
- HARMONIZATION MITIGATES DIFFUSION MRI SCANNER EFFECTS IN INFANCY: INSIGHTS FROM THE HEALTHY BRAIN AND CHILD DEVELOPMENT (HBCD) STUDY.Proceedings. IEEE International Symposium on Biomedical Imaging · 2026Article
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- Article
- Analytic Bounds on GAMLSS Model Variability of Normative White Matter Brain Charts.bioRxiv : the preprint server for biology · 2026Article
- EVALUATION OF NEUROCOMBAT AND DEEP LEARNING HARMONIZATION FOR MULTI-SITE MAGNETIC RESONANCE NEUROIMAGING IN YOUTH WITH PRENATAL ALCOHOL EXPOSURE.Proceedings. IEEE International Symposium on Biomedical Imaging · 2026Article
- Analytic Bounds on GAMLSS Model Variability of Normative White Matter Brain Charts.Proceedings of SPIE--the International Society for Optical Engineering · 2026Article
- Challenges and best practices when using ComBAT to harmonize diffusion MRI data.Scientific reports · 2025Article
- Harmonizing 10,000 connectomes: site-invariant representation learning for multi-site analysis of network connectivity and cognitive impairment.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- White matter microstructure is differentially impacted by cerebral amyloid angiopathy, neurofibrillary tangles, and neuritic plaque co-pathology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Learning disentangled representations to harmonize connectome network measures.Journal of medical imaging (Bellingham, Wash.) · 2025Article
Corrections and comments
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Authors and funding
19 authors.
Funding
Abstract
Purpose: Diffusion tensor imaging (DTI) is a magnetic resonance imaging technique that provides unique information about white matter microstructure in the brain but is susceptible to confounding effects introduced by scanner or acquisition differences. ComBat is a leading approach for addressing these site biases. However, despite its frequent use for harmonization, ComBat's robustness toward site dissimilarities and overall cohort size have not yet been evaluated in terms of DTI. Approach: As a baseline, we match Results: ComBat remains well behaved for Conclusion: Prior to harmonization of DTI data with ComBat, the input cohort should be examined for size and covariate distributions of each site. Direct assessment of residual distributions is less informative on stability than bootstrap analysis. We caution use ComBat of in situations that do not conform to the above thresholds.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.